Latest news with #Spelman
Time of India
4 days ago
- Health
- Time of India
Think it's just a bad day? These everyday micro-Stresses might be wrecking your health
Repeated Micro-Stresses Mirror Major Trauma Survey: Brits Experience Eight Micro-Stresses Daily Being stuck in traffic (53%) A broken bin bag (42%) Losing keys or getting stuck behind slow walkers (33%) A messy house (32%) Spilling on the carpet (30%) Forgetting to charge a device (27%) Losing the TV remote (26%) Regional Differences and Physical Side Effects Experts Urge for Mindful Stress Management While major life events are often recognized as serious stress triggers, a growing body of research suggests that minor, day-to-day frustrations — often overlooked — could be just as harmful. UK-based psychologist Dr. Becky Spelman has issued a warning that these seemingly insignificant moments of tension, also called "micro-stresses," may have lasting consequences on both physical and emotional per the Daily Mail, Dr. Spelman explained that recurring small irritations, such as being in a rush or misplacing keys, can lead to the same kind of exhaustion typically associated with more severe stressors. 'Repeated minor stressors can lead to the same physiological and emotional exhaustion as a single major stressor,' she told Daily build over time and interfere with focus, raise cortisol levels, and alter how people handle more significant life challenges. When people have no chance to decompress between these moments, it creates what she described as 'emotional static,' impacting not only concentration and patience but also general health.A recent study commissioned by the wellness brand TRIP surveyed 2,000 adults across the UK, uncovering how deeply micro-stresses have permeated everyday life. According to the research, 90% of participants reported experiencing these small frustrations daily, averaging around eight instances per most common triggers include:These irritants, while minor individually, can compound to have serious effects. Dr. Spelman emphasized that these accumulated stressors could mimic the toll of one major negative event on the Birmingham residents reportedly face the highest number of daily stress triggers — an average of 10 — while those in Coventry reported fewer. The study also revealed that stress-related physical symptoms are widespread: 62% said stress sometimes makes them feel physically ill, while 59% suffer from headaches. Other complaints include sleeplessness, increased heart rate, and even panic co-founder Olivia Ferdi echoed concerns about the long-term build-up of micro-stresses, noting that they may even have more impact than rare major stress events. 'It's clear from the research that the smaller, more frequent stresses of daily life can really build up and grind us down,' she recommended carving out small moments to decompress — like taking a break or having a calming drink — to keep these minor stressors from Spelman advised integrating daily rituals to regain a sense of calm and maintaining emotional steadiness during high-pressure moments. She added, 'In a fast-paced society, giving yourself permission to slow down — even for a few moments — can be the most important form of self-care.'In a world that's constantly on the move, it may be these everyday moments — the traffic jams, the missing remotes, the cluttered rooms — that slowly wear us down. And while they may not feel serious in isolation, the evidence suggests they deserve just as much attention as any other form of stress.
Time of India
7 days ago
- Business
- Time of India
Cornelis Networks releases tech to speed up AI datacenter connections
By Stephen Nellis SAN FRANCISCO: Cornelis Networks on Tuesday released a suite of networking hardware and software aimed at linking together up to half a million artificial intelligence chips. Cornelis, which was spun out of Intel in 2020 and is still backed by the chipmaker's venture capital fund, is targeting a problem that has bedeviled AI datacenters for much of the past decade: AI computing chips are very fast, but when many of those chips are strung together to work on big computing problems, the network links between the chips are not fast enough to keep the chips supplied with data. Nvidia took aim at that problem with its $6.9 billion purchase in 2020 of networking chip firm Mellanox, which made networking gear with a network protocol called InfiniBand, which was created in the 1990s specifically for supercomputers. Networking chip giants such as Broadcom and Cisco Systems are working to solve the same set of technical issues with Ethernet technology, which has connected most of the internet since the 1980s and is an open technology standard. The Cornelis "CN5000" networking chips use a new network technology created by Cornelis called OmniPath. The chips will ship to initial customers such as the U.S. Department of Energy in the third quarter of this year, Cornelis CEO Lisa Spelman told Reuters on May 30. Although Cornelis has backing from Intel, its chips are designed to work with AI computing chips from Nvidia, Advanced Micro Devices or any other maker using open-source software, Spelman said. She said that the next version of Cornelis chips in 2026 will also be compatible with Ethernet networks, aiming to alleviate any customer concerns that buying Cornelis chips would leave a data center locked into its technology. "There's 45-year-old architecture and a 25-year-old architecture working to solve these problems," Spelman said. "We like to offer a new way and a new path for customers that delivers you both the (computing chip) performance and excellent economic performance as well."
The Star
7 days ago
- Business
- The Star
Cornelis Networks releases tech to speed up AI datacenter connections
FILE PHOTO: An AI (Artificial Intelligence) sign is seen at the World Artificial Intelligence Conference (WAIC) in Shanghai, China July 6, 2023. REUTERS/Aly Song/File Photo SAN FRANCISCO (Reuters) -Cornelis Networks on Tuesday released a suite of networking hardware and software aimed at linking together up to half a million artificial intelligence chips. Cornelis, which was spun out of Intel in 2020 and is still backed by the chipmaker's venture capital fund, is targeting a problem that has bedeviledAI datacenters for much of the past decade: AI computing chips are very fast, but when many of those chips are strung together to work on big computing problems, the network links between the chips are not fast enough to keep the chips supplied with data. Nvidia took aim at that problem with its $6.9 billion purchase in 2020 of networking chip firm Mellanox, which made networking gear with a network protocol called InfiniBand, which was created in the 1990s specifically for supercomputers. Networking chip giants such as Broadcom and Cisco Systems are working to solve the same set of technical issues with Ethernet technology, which has connected most of the internet since the 1980s and is an open technology standard. The Cornelis "CN5000" networking chips usea new network technology created by Cornelis called OmniPath. The chips will ship to initial customers such as the U.S. Department of Energy in the third quarter of this year, Cornelis CEO Lisa Spelman told Reuters on May 30. Although Cornelis has backing from Intel, its chips are designed to work with AI computing chips from Nvidia, Advanced Micro Devices or any other maker using open-source software, Spelman said. She said that the next version of Cornelis chips in 2026 will also be compatible with Ethernet networks, aiming to alleviate any customer concerns that buying Cornelis chips would leave a data center locked into its technology. "There's 45-year-old architecture and a 25-year-old architecture working to solve these problems," Spelman said. "We like to offer a new way and a new path for customers that delivers you both the (computing chip) performance and excellent economic performance as well." (Reporting by Stephen Nellis in San Francisco; Editing by Leslie Adler)
Reuters
7 days ago
- Business
- Reuters
Cornelis Networks releases tech to speed up AI datacenter connections
SAN FRANCISCO, June 3 (Reuters) - Cornelis Networks on Tuesday released a suite of networking hardware and software aimed at linking together up to half a million artificial intelligence chips. Cornelis, which was spun out of Intel (INTC.O), opens new tab in 2020 and is still backed by the chipmaker's venture capital fund, is targeting a problem that has bedeviled AI datacenters for much of the past decade: AI computing chips are very fast, but when many of those chips are strung together to work on big computing problems, the network links between the chips are not fast enough to keep the chips supplied with data. Nvidia (NVDA.O), opens new tab took aim at that problem with its $6.9 billion purchase in 2020 of networking chip firm Mellanox, which made networking gear with a network protocol called InfiniBand, which was created in the 1990s specifically for supercomputers. Networking chip giants such as Broadcom (AVGO.O), opens new tab and Cisco Systems (CSCO.O), opens new tab are working to solve the same set of technical issues with Ethernet technology, which has connected most of the internet since the 1980s and is an open technology standard. The Cornelis "CN5000" networking chips use a new network technology created by Cornelis called OmniPath. The chips will ship to initial customers such as the U.S. Department of Energy in the third quarter of this year, Cornelis CEO Lisa Spelman told Reuters on May 30. Although Cornelis has backing from Intel, its chips are designed to work with AI computing chips from Nvidia, Advanced Micro Devices or any other maker using open-source software, Spelman said. She said that the next version of Cornelis chips in 2026 will also be compatible with Ethernet networks, aiming to alleviate any customer concerns that buying Cornelis chips would leave a data center locked into its technology. "There's 45-year-old architecture and a 25-year-old architecture working to solve these problems," Spelman said. "We like to offer a new way and a new path for customers that delivers you both the (computing chip) performance and excellent economic performance as well."
Yahoo
7 days ago
- Business
- Yahoo
Cornelis Networks releases tech to speed up AI datacenter connections
By Stephen Nellis SAN FRANCISCO (Reuters) -Cornelis Networks on Tuesday released a suite of networking hardware and software aimed at linking together up to half a million artificial intelligence chips. Cornelis, which was spun out of Intel in 2020 and is still backed by the chipmaker's venture capital fund, is targeting a problem that has bedeviled AI datacenters for much of the past decade: AI computing chips are very fast, but when many of those chips are strung together to work on big computing problems, the network links between the chips are not fast enough to keep the chips supplied with data. Nvidia took aim at that problem with its $6.9 billion purchase in 2020 of networking chip firm Mellanox, which made networking gear with a network protocol called InfiniBand, which was created in the 1990s specifically for supercomputers. Networking chip giants such as Broadcom and Cisco Systems are working to solve the same set of technical issues with Ethernet technology, which has connected most of the internet since the 1980s and is an open technology standard. The Cornelis "CN5000" networking chips use a new network technology created by Cornelis called OmniPath. The chips will ship to initial customers such as the U.S. Department of Energy in the third quarter of this year, Cornelis CEO Lisa Spelman told Reuters on May 30. Although Cornelis has backing from Intel, its chips are designed to work with AI computing chips from Nvidia, Advanced Micro Devices or any other maker using open-source software, Spelman said. She said that the next version of Cornelis chips in 2026 will also be compatible with Ethernet networks, aiming to alleviate any customer concerns that buying Cornelis chips would leave a data center locked into its technology. "There's 45-year-old architecture and a 25-year-old architecture working to solve these problems," Spelman said. "We like to offer a new way and a new path for customers that delivers you both the (computing chip) performance and excellent economic performance as well." Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
